SynthesisBMC cardiovascular disorders2021
Identification of key miRNAs and mRNAs related to coronary artery disease by meta-analysis.
Synthesis in BMC cardiovascular disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Article
- Immunological synapse: structures, molecular mechanisms and therapeutic implications in disease.Signal transduction and targeted therapy · 2025Review
- The Clinical Significance of miR-139-5p in Acute Coronary Syndrome and its Potential Effect on the Progression of Acute Coronary Syndrome.Journal of cardiovascular translational research · 2025Article
- Unraveling the association and regulatory role of miR-146b-5p in coronary artery disease.BMC cardiovascular disorders · 2025Article
- TBL1XR1 Promotes Coronary Artery Disease by Regulating Triglyceride Metabolism via the PPAR Pathway.Cardiology research and practice · 2025Article
- Article
- Profiling of Non-Coding Regulators and Their Targets in Epicardial Fat from Patients with Coronary Artery Disease.International journal of molecular sciences · 2022Article
- Global alteration of colonic microRNAome landscape associated with inflammatory bowel disease.Frontiers in immunology · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo illustrate the mechanism of miRNA and mRNA in coronary artery diseasen (CAD), differentially expressed microRNAs (DEmiRNAs) and genes (DEGs) were analyzed.
methodsThe mRNA transcription profiles of GSE20680 (including 87 blood samples of CAD and 52 blood samples of control), GSE20681 (including 99 blood samples of CAD and 99 blood samples of control) and GSE12288 (including 110 blood samples of CAD and 112 blood samples of control) and the miRNA transcription profiles of GSE59421 (including 33 blood samples of CAD and 37 blood samples of control), GSE49823 (including 12 blood samples of CAD and 12 blood samples of control) and GSE28858 (including 13 blood samples of CAD and 13 blood samples of control) were downloaded from Gene Expression Omnibus (GEO; http://www.ncbi.nlm.nih.gov/geo/ ). Then, the homogenous expressed mRNAs and miRNAs across the three mRNA transcription profiles and three miRNA transcription profiles were screened using the Fishers exact test in MetaDE. ES package. The weighted gene co-expression network analysis (WGCNA) was used to analyze gene modules. Additionally, the integrated miRNAs-targets regulatory network using the DEmiRNA and their targets was constructed using Cytoscape.
resultsA total of 1201 homogenously statistically significant DEGs were identified including 879 up-regulated and 322 down-regulated DEGs, while a total of 47 homogenously statistically significant DEmiRNAs including 37 up-regulated and 10 down-regulated DEmiRNAs in CAD compared with the controls across the three mRNA transcription profiles and the three miRNA transcription profiles. A total of 5067 genes were clustered into 9 modules in the training dataset, among which, 8 modules were validated. In the miRNAs-targets network, there existed 267 interaction relationships among 5 miRNAs (hsa-miR-361-5p, hsa-miR-139-5p, hsa-miR-146b-5p, hsa-miR-502-5p and hsa-miR-501-5p) and 213 targets. CAV1 could be the target of hsa-miR-361-5 while HSF2 was the target of both hsa-miR-361-5p and hsa-miR-146b-5p. CAV1 was significantly enriched in the GO term of regulation of cell proliferation.
conclusionhsa-miR-361-5p, has-miR-146b-5p, CAV1 and HSF2 could play an important role in CAD.
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